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Name prefix matching using bloom filter pre-searching for content centric network
- Title
- Name prefix matching using bloom filter pre-searching for content centric network
- Authors
- Lee, Jungwon; Shim, Miran; Lim, Hyesook
- Ewha Authors
- 임혜숙
- SCOPUS Author ID
- 임혜숙
- Issue Date
- 2016
- Journal Title
- JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- ISSN
- 1084-8045
- Citation
- JOURNAL OF NETWORK AND COMPUTER APPLICATIONS vol. 65, pp. 36 - 47
- Keywords
- Content centric network; Name prefix matching; Bloom filter; Name prefix trie
- Publisher
- ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
- Indexed
- SCIE; SCOPUS
- Document Type
- Article
- Abstract
- As a new networking paradigm for future Internet, content centric networking (CCN) technology provides a contents-oriented communication infrastructure for the rapidly increasing amount of data traffic. For the successful realization of CCN, it is essential to design an efficient forwarding engine that performs high-speed name lookup. This paper proposes the use of a hashing-based name prefix trie and a Bloom filter. In the proposed approach, an off-chip hash table storing the nodes of the name prefix trie is only accessed when the Bloom filter states that the node under querying exists in the trie. In accessing the node depending on the result of the Bloom filter, we propose two algorithms that have different strategies. The first algorithm accesses the the node for every positive result of the Bloom filter, while the second algorithm first attempts to determine the longest matching length using Bloom filter queries. Trie nodes are accessed from the possible longest length, and tracked back if there is no match. Simulation results show that the proposed approach can provide the output face of each input name, with a single node access on average and with two node accesses in the worst-case using a reasonable size of a Bloom filter. (C) 2016 Elsevier Ltd. All rights reserved.
- DOI
- 10.1016/j.jnca.2016.02.008
- Appears in Collections:
- 공과대학 > 전자전기공학전공 > Journal papers
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